Guest Lecturer & Supervisor, University of Cambridge
Graduate course & Supervision, University of Cambridge, Department of Applied Mathematics and Theoretical Physics, 2020
Led one-on-one and small group tutorials for undergraduate math students, focusing on computational projects and statistical physics. Also delivered graduate-level guest lectures on ocean circulation, unsupervised classification, and ocean data in the Artificial Intelligence for Environmental Risk PhD programme.
Guest Lecturer: Artificial Intelligence for Environmental Risk (2020 - 2022)
As a Guest Lecturer in the Artificial Intelligence for Environmental Risk (AI4ER) course at the University of Cambridge, I delivered graduate-level lectures focused on the intersection of ocean circulation, unsupervised classification, and ocean data.
Key Responsibilities:
- Delivered graduate lectures on topics such as ocean circulation, unsupervised classification, and the application of artificial intelligence in environmental risk analysis
- Developed lecture content to ensure students understood complex environmental data analysis techniques
- Guided discussions on how AI and machine learning can be used to tackle challenges in environmental sciences
Impact:
My involvement in this course allowed me to share my expertise in data science and AI within the context of environmental risk. I helped students gain an understanding of how AI models can be applied to real-world problems in environmental science and decision-making.
Supervisor (2021 - Present)
I have had the privilege of supervising PhD students and researchers at Cambridge, working on projects involving machine learning and adjoint modeling to tackle complex environmental and oceanographic challenges.
Key Supervision Experience:
- Simon Thomas (PhD student): Supervising research on using machine learning to quantify storm surge risk.
- Rachel Furner (PhD student): Co-supervising a project on data-driven ocean models using machine learning techniques.
- Ciara Pimm (PhD student, U. Liverpool): Co-supervising research on adjoint modeling applications in the Southern Ocean.
Impact:
Through these supervisory roles, I have mentored students in developing cutting-edge research and contributed to the advancement of knowledge in the fields of oceanography, machine learning, and environmental risk assessment.